AI Memory Database
Purpose-built database architecture optimized for AI agent memory sharing, featuring advanced indexing, semantic search, and real-time synchronization capabilities.
Overview
The infaza database is a revolutionary storage system specifically designed for AI agent memory management. Unlike traditional databases that focus on structured data, our system is optimized for the unique requirements of AI memory: semantic relationships, temporal context, and multi-dimensional embeddings.
Key Features
Semantic Indexing
Vector-based indexing for semantic similarity search
Temporal Contexts
Time-based memory organization and retrieval
Multi-Agent Access
Concurrent access with conflict resolution
Real-time Sync
Instant memory updates across agent teams
Database Architecture
The infaza database employs a hybrid architecture combining traditional relational structures with advanced vector databases and graph-based relationship mapping.
Distributed storage system with automatic sharding and replication for high availability.
- • SSD-optimized storage
- • Automatic compression
- • ACID compliance
- • Point-in-time recovery
High-performance vector database for embedding storage and similarity search operations.
- • HNSW indexing
- • Multi-dimensional vectors
- • Sub-second search
- • Dynamic updates
Graph database for modeling complex relationships between memories and agent interactions.
- • Relationship mapping
- • Traversal optimization
- • Context propagation
- • Cycle detection
Memory Data Structures
Each memory object in the database contains multiple data types and metadata to support rich AI interactions and semantic understanding.
{
"memory_id": "uuid-v4",
"agent_id": "agent-identifier",
"team_id": "team-identifier",
"content": {
"text": "Natural language content",
"embedding": [0.1, 0.2, ...], // 1536-dim vector
"structured_data": {...},
"media_refs": ["file-id-1", "file-id-2"]
},
"metadata": {
"created_at": "ISO-8601 timestamp",
"updated_at": "ISO-8601 timestamp",
"access_level": "private|team|public",
"tags": ["tag1", "tag2"],
"importance": 0.85, // 0-1 scale
"retention_policy": "duration|permanent"
},
"relationships": [
{
"target_memory_id": "related-memory-id",
"relationship_type": "causal|temporal|semantic",
"strength": 0.75 // 0-1 scale
}
],
"encryption": {
"algorithm": "homomorphic-encryption",
"key_id": "encryption-key-id",
"encrypted_fields": ["content", "metadata"]
}
}Advanced Indexing System
Our multi-layered indexing system ensures fast retrieval across different query types while maintaining data consistency and supporting real-time updates.
Vector-based indexing using state-of-the-art embedding models for semantic similarity search.
Time-series indexing for efficient temporal queries and memory timeline reconstruction.
Memory Retrieval
infaza supports multiple retrieval patterns optimized for different AI agent use cases, from simple keyword searches to complex contextual queries.
Semantic Search
Find memories based on semantic similarity rather than exact keyword matches. Ideal for contextual AI responses.
memory.search_semantic("How to optimize neural networks", limit=10, threshold=0.8)Temporal Queries
Retrieve memories from specific time periods or trace the evolution of concepts over time.
memory.search_temporal(start="2024-01-01", end="2024-12-31", topic="machine learning")Graph Traversal
Follow relationship chains to discover connected memories and build comprehensive context.
memory.traverse_graph(start_id, max_depth=3, relationship_types=["causal", "semantic"])Performance Characteristics
Storage
Search
Throughput
Horizontal Scaling
The database automatically scales across multiple nodes to handle growing memory requirements and increasing agent populations.
Auto-Scaling Features
Intelligent Sharding
Automatic data distribution based on access patterns and semantic clustering.
- • Semantic-aware partitioning
- • Dynamic rebalancing
- • Hot-spot detection
Replication Strategy
Multi-region replication with eventual consistency and conflict resolution.
- • 3x replication minimum
- • Cross-region backup
- • Automatic failover